Exploring digital transformation adoption of scientific researchers

Abstract The research environment has been rapidly changing and diversifying. Digital transformation (DT) enables researchers to navigate these environments by conducting research more quickly and efficiently. This study proposes a model integrating the technology readiness index, technology acceptance model, and theory of planned behavior to explore the key determinants affecting researchers’ acceptance of DT. A survey of 214 PhD researchers at a multidisciplinary research institute was conducted, and structural equation modeling was used to analyze the results. The research model, which included discomfort, insecurity, innovativeness, and optimism, revealed diverse ways to guide the acceptance of DT. The findings systematically identified the factors contributing to researchers’ adoption of DT, deepening the understanding of members of research institutions where knowledge innovation and creation are primary objectives. This study serves as an early, comprehensive analysis of internal factors to better understand and strategize the adoption of DT in scientific research.